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Volumn 32, Issue 3, 2011, Pages 13-18

Recommender systems: An overview

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CASE BASED REASONING; DATA MINING; LEARNING SYSTEMS;

EID: 84255191548     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: 10.1609/aimag.v32i3.2361     Document Type: Article
Times cited : (158)

References (12)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • DOI 10.1109/TKDE.2005.99
    • Adomavicius, G., and Tuzhilin, A. 2005. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering 17(6):734-749. (Pubitemid 40860454)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 2
    • 49749086487 scopus 로고    scopus 로고
    • Scalable collaborative filtering with jointly derived neighborhood interpolation weights
    • Los Alamitos, CA: IEEE Computer Society
    • Bell, R. M., and Koren, Y. 2007. Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights. In Proceedings of the 2007 Seventh IEEE International Conference on Data Mining, 43-52. Los Alamitos, CA: IEEE Computer Society.
    • (2007) Proceedings of the 2007 Seventh IEEE International Conference on Data Mining , pp. 43-52
    • Bell, R.M.1    Koren, Y.2
  • 4
    • 84963558894 scopus 로고    scopus 로고
    • The netflix prize
    • Paper presented at, San Jose, CA, 12 August.
    • Bennett, J., and Lanning, S. 2007. The Netflix Prize. Paper presented at the KDD Cup Workshop, San Jose, CA, 12 August.
    • (2007) The KDD Cup Workshop
    • Bennett, J.1    Lanning, S.2
  • 5
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: Survey and experiments
    • Burke, R. 2002. Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction 12(4):331-370.
    • (2002) User Modeling and User-Adapted Interaction , vol.12 , Issue.4 , pp. 331-370
    • Burke, R.1
  • 6
    • 84255174882 scopus 로고    scopus 로고
    • Matching recommendation technologies and domains
    • F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, Berlin: Springer.
    • Burke, R., and Ramezani, M. 2011. Matching Recommendation Technologies and Domains. In Recommender Systems Handbook, ed. F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, 367-386. Berlin: Springer.
    • (2011) Recommender Systems Handbook , pp. 367-386
    • Burke, R.1    Ramezani, M.2
  • 8
    • 80051515222 scopus 로고    scopus 로고
    • On the evolution of critiquing recommenders
    • F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, Berlin: Springer
    • McGinty, L., and Reilly, J. 2011. On the Evolution of Critiquing Recommenders. In Recommender Systems Handbook, ed. F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, 419-453. Berlin: Springer.
    • (2011) Recommender Systems Handbook , pp. 419-453
    • McGinty, L.1    Reilly, J.2
  • 10
    • 0018632276 scopus 로고
    • User modeling via stereotypes
    • Rich, E. 1979. User Modeling via Stereotypes. Cognitive Science 3(4):329-354. (Pubitemid 10100732)
    • (1979) Cognitive Science , vol.3 , Issue.4 , pp. 329-354
    • Rich, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.